Lillian Yau

9 total papers · 501 total citations
7 papers, 391 citations indexed

About

Lillian Yau is a scholar working on Surgery, Nephrology and Pathology and Forensic Medicine. According to data from OpenAlex, Lillian Yau has authored 7 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Surgery, 2 papers in Nephrology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Lillian Yau's work include Neutropenia and Cancer Infections (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper) and Alcohol Consumption and Health Effects (1 paper). Lillian Yau is often cited by papers focused on Neutropenia and Cancer Infections (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper) and Alcohol Consumption and Health Effects (1 paper). Lillian Yau collaborates with scholars based in United States, South Africa and Germany. Lillian Yau's co-authors include Arnold Alper, Sathanur R. Srinivasan, L. Lee Hamm, Gerald S. Berenson, Wei Chen, Andriy Krendyukov, Gary H. Lyman, Roumen Nakov, Chelsea Grimes and Xin Zhang and has published in prestigious journals such as Journal of Clinical Oncology, Hypertension and Annals of Oncology.

In The Last Decade

Lillian Yau

7 papers receiving 377 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Lillian Yau	214	127	85	83	81	7	391
Buse Balci	128 0.6×	59 0.5×	46 0.5×	50 0.6×	139 1.7×	12	343
R. Caresse Hightower	86 0.4×	115 0.9×	55 0.6×	35 0.4×	61 0.8×	14	387
Yaqiu Hu	228 1.1×	114 0.9×	177 2.1×	15 0.2×	135 1.7×	7	420
Toru Kagawa	184 0.9×	67 0.5×	81 1.0×	13 0.2×	73 0.9×	9	360
Senji Okuno	123 0.6×	217 1.7×	68 0.8×	25 0.3×	29 0.4×	10	368
Rick Hayashi	69 0.3×	94 0.7×	54 0.6×	46 0.6×	37 0.5×	13	385
Stefano Rota	150 0.7×	41 0.3×	107 1.3×	48 0.6×	24 0.3×	10	419
Mitsuo lida	51 0.2×	131 1.0×	134 1.6×	58 0.7×	87 1.1×	13	371
Tiziana Spatola	137 0.6×	25 0.2×	94 1.1×	48 0.6×	76 0.9×	12	421
Hsien‐Hsien Lei	93 0.4×	116 0.9×	148 1.7×	12 0.1×	37 0.5×	6	417

Countries citing papers authored by Lillian Yau

Since Specialization

Citations

This map shows the geographic impact of Lillian Yau's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Lillian Yau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lillian Yau more than expected).

Fields of papers citing papers by Lillian Yau

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lillian Yau. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Lillian Yau. The network helps show where Lillian Yau may publish in the future.

Co-authorship network of co-authors of Lillian Yau

This figure shows the co-authorship network connecting the top 25 collaborators of Lillian Yau. A scholar is included among the top collaborators of Lillian Yau based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lillian Yau. Lillian Yau is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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